The following publications are possibly variants of this publication:
- FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge ComputingPaul Agbaje, Afia Anjum, Zahidur Talukder, Mohammad A. Islam 0001, Ebelechukwu Nwafor, Habeeb Olufowobi. edge 2023: 215-220 [doi]
- Computationally Efficient Auto-Weighted Aggregation for Heterogeneous Federated LearningZahidur Talukder, Mohammad A. Islam 0001. edge 2022: 12-22 [doi]
- Cross-Domain Based Data Sharing Scheme in Cooperative Edge ComputingKai Fan, Qiang Pan, Junxiong Wang, Tingting Liu, Hui Li 0006, Yintang Yang. edge 2018: 87-92 [doi]
- EdgeServe: efficient deep learning model caching at the edgeTian Guo 0001, Robert J. Walls, Samuel S. Ogden. edge 2019: 313-315 [doi]
- A privacy-aware data sharing framework for Internet of Things through edge computing platformAkbar Telikani, Jun Shen 0001, Peng Wang, Jie Yang. edge 2022: 114-122 [doi]
- Distributed Edge Computing System for Vehicle CommunicationRinith Pakala, Niket Kathiriya, Hossein Haeri, Srivenkata Satya Prasad Maddipatla, Kshitij Jerath, Craig Earl Beal, Sean Brennan 0001, Cindy Chen. data 2023: 398-405 [doi]